Design Principles of Rational Agents
1. Performance Measure
The performance measure evaluates how well the agent is achieving its goals. It can be defined in various ways depending on the application. For instance, in a self-driving car, the performance measure could include safety, speed, and passenger comfort.
2. Rationality
Rationality is not just about achieving the best possible outcome but also about acting optimally given the information and computational resources available. An agent is considered rational if it does the “right thing,” given what it knows.
Autonomy
A rational agent should operate autonomously to a certain extent, making decisions and taking actions without human intervention. This involves learning from the environment and updating its knowledge base.
Rational Agent in AI
Artificial Intelligence (AI) is revolutionizing our lives, from self-driving cars to personalized recommendations on streaming platforms. The concept of a rational agent is at the core of many AI systems. A rational agent is an entity that acts to achieve the best outcome, given its knowledge and capabilities.
This article explores the fundamentals of rational agents in AI, their types, design principles, and applications.